Motivation:  The MHA computes the association weights between different features.
The attention mechanism allows probabilistic many-to-many relations instead of monotonic relations, as in [1]}, [2]}, [3]}. Therefore, we apply MHA to correlate the posterior and prior knowledge for the input radiology image, as well as distilling useful knowledge to generate accurate reports.
